Prediction of Mortality in Inpatients of Covid-19 using Statistical and Artificial Intelligence Approaches: A Case Study in Sakarya
M. Fatih Adak,
Mustafa Akpinar,
Esra Yıldız
et al.
Abstract:The virus SARS-Cov-2 speared rapidly as pandemic disease and cause serious respiratory distress and death. The parameters such as D-dimer, fibrinogen, C-reactive protein, and serum ferritin become higher indicators for acute inflammation. It is vital to understand whether the disease will progress severely or result in death by using laboratory findings. In this way, a doctor concentrating on the patient can make faster and more accurate decisions about the prognosis of the disease and survey patients using ar… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.